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In-Situ Data-Driven Buffeting Response Analysis of a Cable-Stayed Bridge.

Sehoon Kim1, Hyunjun Jung1, Min Joon Kong1

  • 1Korea Infrastructure Safety Corporation (KISTEC), Jinju-si 52856, Gyeongsangnam-do, Korea.

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|July 13, 2019
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Summary

Accurate buffeting response analysis for cable-stayed bridges requires updated wind characteristic evaluations. Full-scale measurements improve prediction accuracy, informing crucial bridge management strategies for in-service structures.

Keywords:
buffeting responsescable-stayed bridgedamping ratiosfull-scale measurementsmeasured actual buffeting responses

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Area of Science:

  • Civil Engineering
  • Structural Engineering
  • Aerodynamics

Background:

  • Cable-stayed bridges require accurate buffeting response analysis, which is influenced by changing environmental conditions and climate change.
  • Existing design guidelines may not reflect current wind characteristics due to terrain changes and climate variations over the bridge's service life.
  • Structural health monitoring systems are essential for obtaining real-time data on bridge site wind conditions.

Purpose of the Study:

  • To analytically evaluate the buffeting responses of an aging cable-stayed bridge.
  • To assess the impact of updated wind characteristic data, obtained from full-scale measurements, on buffeting response analysis.
  • To compare analysis results with existing design guidelines and propose management criteria for in-service bridges.

Main Methods:

  • Evaluation of wind characteristics (turbulence intensity, length, gust, roughness coefficient) using full-scale measurements from a structural health monitoring system.
  • Analytical buffeting response analysis incorporating measured damping ratios, static aerodynamic force coefficients, and natural frequencies.
  • Comparison of analysis results with data from the Korean Society of Civil Engineers (KSCE) Design Guidelines and measured buffeting responses.

Main Results:

  • Wind characteristics at the bridge site were found to be analogous to open terrain, despite its coastal location.
  • Numerical analysis using estimated variables from full-scale measurements showed good agreement with measured buffeting responses at wind speeds below 25 m/s.
  • Extreme wind speed analysis (44 m/s, 200-year recurrence interval) and subsequent buffeting response determination at 45 m/s were performed.

Conclusions:

  • Full-scale measurements and updated wind characteristic data significantly improve the accuracy of buffeting response analysis for in-service bridges.
  • The study provides a basis for developing management criteria tailored to specific bridge conditions and measured data.
  • Proposed management levels offer a proactive approach to ensuring the long-term safety and performance of aging cable-stayed bridges.